{"id":"https://openalex.org/W4309722968","doi":"https://doi.org/10.3390/rs14235915","title":"A Method for the Automatic Extraction of Support Devices in an Overhead Catenary System Based on MLS Point Clouds","display_name":"A Method for the Automatic Extraction of Support Devices in an Overhead Catenary System Based on MLS Point Clouds","publication_year":2022,"publication_date":"2022-11-22","ids":{"openalex":"https://openalex.org/W4309722968","doi":"https://doi.org/10.3390/rs14235915"},"language":"en","primary_location":{"id":"doi:10.3390/rs14235915","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14235915","pdf_url":"https://www.mdpi.com/2072-4292/14/23/5915/pdf?version=1670551716","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/23/5915/pdf?version=1670551716","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101950004","display_name":"Shengyuan Zhang","orcid":"https://orcid.org/0000-0002-8640-7631"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyuan Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101044420","display_name":"Qingxiang Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingxiang Meng","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015074174","display_name":"Yulong Hu","orcid":"https://orcid.org/0000-0003-3844-3950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yulong Hu","raw_affiliation_strings":["China Transport Telecommunications & Information Center, Beijing 100011, China"],"affiliations":[{"raw_affiliation_string":"China Transport Telecommunications & Information Center, Beijing 100011, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460014","display_name":"Zhongliang Fu","orcid":"https://orcid.org/0000-0003-4797-258X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongliang Fu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023619391","display_name":"Lijin Chen","orcid":"https://orcid.org/0000-0003-4811-7606"},"institutions":[{"id":"https://openalex.org/I271893122","display_name":"National Health and Family Planning Commission","ror":"https://ror.org/052eegr76","country_code":"CN","type":"government","lineage":["https://openalex.org/I271893122","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijin Chen","raw_affiliation_strings":["Center for Health Statistics and Information, National Health Commission of the People\u2019s Republic of China, Beijing 100044, China","Center for Health Statistics and Information, National Health Commission of the People's Republic of China, Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"Center for Health Statistics and Information, National Health Commission of the People\u2019s Republic of China, Beijing 100044, China","institution_ids":["https://openalex.org/I271893122"]},{"raw_affiliation_string":"Center for Health Statistics and Information, National Health Commission of the People's Republic of China, Beijing 100044, China","institution_ids":["https://openalex.org/I271893122"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101044420"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.2555,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48985452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"23","first_page":"5915","last_page":"5915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8231198191642761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7897406816482544},{"id":"https://openalex.org/keywords/catenary","display_name":"Catenary","score":0.6806477308273315},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5633542537689209},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.47876015305519104},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44234806299209595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4417339265346527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4292997121810913},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42585518956184387},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11188298463821411}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8231198191642761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7897406816482544},{"id":"https://openalex.org/C29279314","wikidata":"https://www.wikidata.org/wiki/Q214561","display_name":"Catenary","level":2,"score":0.6806477308273315},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5633542537689209},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.47876015305519104},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44234806299209595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4417339265346527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4292997121810913},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42585518956184387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11188298463821411},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14235915","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14235915","pdf_url":"https://www.mdpi.com/2072-4292/14/23/5915/pdf?version=1670551716","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:63befb6dedf04d2c8f1fe05477ddc06b","is_oa":true,"landing_page_url":"https://doaj.org/article/63befb6dedf04d2c8f1fe05477ddc06b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 23, p 5915 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/23/5915/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14235915","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 23; Pages: 5915","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14235915","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14235915","pdf_url":"https://www.mdpi.com/2072-4292/14/23/5915/pdf?version=1670551716","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309722968.pdf","grobid_xml":"https://content.openalex.org/works/W4309722968.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1986816859","https://openalex.org/W1987058898","https://openalex.org/W2001303383","https://openalex.org/W2009953720","https://openalex.org/W2014091167","https://openalex.org/W2035307359","https://openalex.org/W2041642242","https://openalex.org/W2093172072","https://openalex.org/W2102167080","https://openalex.org/W2107073819","https://openalex.org/W2131360689","https://openalex.org/W2132574236","https://openalex.org/W2149458101","https://openalex.org/W2508365866","https://openalex.org/W2524866760","https://openalex.org/W2538932616","https://openalex.org/W2617121149","https://openalex.org/W2750078217","https://openalex.org/W2767909418","https://openalex.org/W2898520875","https://openalex.org/W2902218628","https://openalex.org/W2947084350","https://openalex.org/W2987592818","https://openalex.org/W2991543943","https://openalex.org/W2997441232","https://openalex.org/W2998330714","https://openalex.org/W3017056634","https://openalex.org/W3036647544","https://openalex.org/W3177354419","https://openalex.org/W3183727309","https://openalex.org/W3189081420","https://openalex.org/W4206762216","https://openalex.org/W4210637206","https://openalex.org/W6632543736","https://openalex.org/W6756109274","https://openalex.org/W6770783884","https://openalex.org/W6799518298","https://openalex.org/W6799758749","https://openalex.org/W6808117223"],"related_works":["https://openalex.org/W4392107026","https://openalex.org/W2527106474","https://openalex.org/W2387267510","https://openalex.org/W4213239480","https://openalex.org/W2355659466","https://openalex.org/W3009196399","https://openalex.org/W4390571018","https://openalex.org/W4399442168","https://openalex.org/W3159780774","https://openalex.org/W2114282491"],"abstract_inverted_index":{"A":[0],"mobile":[1],"laser":[2],"scanning":[3],"(MLS)":[4],"system":[5,32],"can":[6,304],"acquire":[7],"railway":[8,19,31,59,108,134,270,291],"scene":[9,135],"information":[10],"quickly":[11],"and":[12,90,126,139,168,172,192,205,216,232,266,290,296,308,318,329],"provide":[13],"a":[14,34,53,97,165,197],"data":[15,50],"foundation":[16],"for":[17,52,106],"regular":[18,39],"inspections.":[20],"The":[21,272],"location":[22],"of":[23,41,56,92,121,154,175,219,250,256,261,269,281,311,321],"the":[24,38,42,57,68,93,117,122,127,133,142,148,151,155,161,170,176,183,190,193,202,206,214,220,225,229,236,242,247,251,277,282,301,306,319,322,326,334],"catenary":[25],"support":[26,48,94,109,128,177,194,221,230,257,262,284,286,313],"device":[27,49,129,157,178,222,231,263,287],"in":[28,62,67,132,147,235,241,253,315,333],"an":[29,87,102],"electrified":[30],"has":[33],"direct":[35],"impact":[36],"on":[37,112,182,224,325],"operation":[40],"power":[43],"supply":[44],"system.":[45],"However,":[46],"multi-type":[47,283],"accounts":[51],"tiny":[54],"proportion":[55],"whole":[58],"scene,":[60],"resulting":[61],"its":[63],"poor":[64],"characteristic":[65],"expression":[66],"scene.":[69,149],"Therefore,":[70],"using":[71],"traditional":[72],"point":[73,77,114,124,130,153],"cloud":[74,78],"filtering":[75],"or":[76],"segmentation":[79,89],"methods":[80],"alone":[81],"makes":[82],"it":[83],"difficult":[84],"to":[85,212],"achieve":[86,213,305],"effective":[88],"extraction":[91,104,218,238,279,310,327],"device.":[95,195],"As":[96],"result,":[98],"this":[99],"paper":[100],"proposes":[101],"automatic":[103],"algorithm":[105,118,252,303,323],"complex":[107],"devices":[110,234,314],"based":[111,181,223],"MLS":[113],"clouds.":[115],"First,":[116],"obtains":[119],"hierarchies":[120],"pillar":[123,156,162,191,203],"clouds":[125,131],"through":[136],"high":[137],"stratification":[138],"then":[140,169],"realizes":[141],"noise":[143],"that":[144,276],"was":[145],"point-cloud-filtered":[146],"Then,":[150],"center":[152],"is":[158,210,331],"retrieved":[159],"from":[160],"corridor":[163],"by":[164],"neighborhood":[166],"search,":[167],"locating":[171],"initial":[173,237],"extracting":[174],"are":[179],"realized":[180],"relatively":[184],"stable":[185],"spatial":[186],"topological":[187],"relationship":[188],"between":[189,228],"Finally,":[196],"post-processing":[198],"optimization":[199],"method":[200],"integrating":[201],"filter":[204,209],"voxelized":[207],"projection":[208],"designed":[211],"accurate":[215,307],"efficient":[217,309],"feature":[226],"differences":[227],"other":[233],"results.":[239],"Furthermore,":[240],"experimental":[243,273],"part,":[244],"we":[245],"evaluate":[246],"treatment":[248],"effect":[249],"six":[254],"types":[255,260,268],"devices,":[258],"three":[259],"distribution":[264,288],"scenes,":[265,289,317],"two":[267],"units.":[271],"results":[274],"show":[275],"average":[278],"IoU":[280],"device,":[285],"unit":[292],"were":[293],"97.20%,":[294],"94.29%,":[295],"96.11%,":[297],"respectively.":[298],"In":[299],"general,":[300],"proposed":[302],"various":[312],"different":[316],"influence":[320],"parameters":[324],"accuracy":[328],"efficiency":[330],"elaborated":[332],"discussion":[335],"section.":[336]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}